Databricks Jobs in Lithuania.
All active Databricks roles based in Lithuania.
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AI focused DataBricks Developer (Digital Engineering)
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Company Background
Our client is a leading life insurance company, part of a global financial services group. The company offers a wide range of products, including annuities and life insurance, delivered through a large nationwide network of agents.
Project Description
The project focuses on a production system managing clients and life insurance programs. The role involves both support and new feature development, with a strong emphasis on building and optimizing data pipelines and working within a modern Azure-based data platform.
Technologies
- Azure
- Databricks (Architecture, Unity Catalog, Delta, Lineage, Permissions, Databricks Genie, Notebooks)
- Agentic AI (Mosaic AI)
- Python
- SQL
What You'll Do
- Develop and maintain data pipelines within the Azure-based data platform;
- Work with the Databricks ecosystem (Delta Tables, Unity Catalog, notebooks) to process and manage data;
- Build and optimize data transformations using Python and SQL;
- Develop and support AI-driven data pipelines and automation using Databricks (Mosaic AI or similar tools);
- Support and enhance existing production data systems;
- Collaborate with a team of engineers on Databricks-based solutions;
- Ensure data quality, consistency, and reliability across data pipelines;
Job Requirements
- 3+ years of experience as a Data Engineer;
- Strong experience with Databricks ecosystem (Architecture, Unity Catalog, Delta tables, lineage, permissions, Databricks Genie, notebooks);
- Strong experience with Python;
- Solid proficiency in SQL;
- Experience working in Azure cloud environment;
- Experience with Databricks pipelines AI automation (Mosaic AI or AWS Agentcore);
Nice To Have
- Experience with Azure data integration tools (Synapse Pipelines, Azure Data Factory);
- Experience with Azure SQL pools;
- Understanding of performance tuning for data workloads;
- Experience with CI/CD, DevOps practices, Infrastructure as Code (IaC);
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
DataBricks Developer (Digital Engineering)
Share this job
Company Background
Our client is a leading life insurance company, part of a global financial services group. The company offers a wide range of products, including annuities and life insurance, delivered through a large nationwide network of agents.
Project Description
The project focuses on a production system managing clients and life insurance programs. The role involves both support and new feature development, with a strong emphasis on building and optimizing data pipelines and working within a modern Azure-based data platform.
Technologies
- Databricks (architecture, Unity Catalog, Delta Tables, data lineage, permissions, Databricks Genie, notebooks)
- SQL
- Python
- Azure
What You'll Do
- Develop and maintain data pipelines within the Azure-based data platform;
- Work with the Databricks ecosystem (Delta Tables, Unity Catalog, notebooks) to process and manage data;
- Write, optimize, and maintain data transformations using Python and SQL;
- Support and enhance existing production data systems;
- Collaborate with a team of engineers on Databricks-based solutions;
- Ensure data quality, consistency, and reliability across data pipelines;
Job Requirements
- 3+ years of experience as a Data Engineer
- Strong experience with Databricks ecosystem (architecture, Unity Catalog, Delta tables, lineage, permissions)
- Solid knowledge of SQL
- Strong experience with Python
- Experience working in Azure cloud environment
- Good understanding of data pipelines and data platform architecture
- Strong analytical and problem-solving skills
- Excellent communication skills
- English level: B2 (Upper-Intermediate) or higher
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
Data Engineer (Digital Engineering)
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Company Background
Our client is a leading life insurance company, part of a global financial services group. The company offers a wide range of products, including annuities and life insurance, delivered through a large nationwide network of agents.
Project Description
The project focuses on a production system managing clients and life insurance programs. The role involves both support and new feature development, with a strong emphasis on building and optimizing data pipelines and working within a modern Azure-based data platform.
Technologies
- Azure
- Databricks (Architecture, Unity Catalog, Delta, Lineage, Permissions, Databricks Genie, Notebooks)
- Synapse (Pipelines)
- Azure SQL pools
- Python
- SQL
- Performance tuning
What You'll Do
- Develop and maintain data pipelines in the Azure environment;
- Work with Azure SQL Pools for data storage and processing;
- Write and optimize SQL queries;
- Perform performance tuning for queries and data workflows;
- Collaborate with a team of engineers on Databricks-based solutions;
- Build and orchestrate data workflows using Synapse Pipelines / Azure Data Factory;
- Ensure reliability and consistency of data pipelines;
Job Requirements
- 3+ years of experience as a Data Engineer;
- Solid proficiency in SQL;
- Experience working in Azure cloud environment;
- Experience with Azure SQL Pools;
- Strong understanding of performance tuning for data workloads;
- Experience working in Azure cloud environment;
- Excellent communication skills;
- English level: B2 (Upper-Intermediate) or higher;
Nice To Have
- Experience with Azure data integration tools (Synapse Pipelines, Azure Data Factory);
- Experience with Python;
- Experience with Databricks ecosystem (architecture, Unity Catalog, Delta tables, notebooks, lineage, permissions);
- Experience with CI/CD, DevOps practices, Infrastructure as Code (IaC);
- Familiarity with Databricks Asset Bundles;
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
Data Engineer (Agribusiness Software Solutions)
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Company Background
Our client is a company that delivers integrated software and tools for the agricultural business. As part of a leading global software group, the company supports the diversified grain industry and agricultural co-ops with best-in-class solutions covering business management, commodity management, agronomy, trading, patronage, and analytics.
Project Description
Own the end‑to‑end data flow for Data Analytics Platform (DAP). You will ingest XML data from AGRIS Web Services into Azure Blob Storage, orchestrate event‑driven transformation pipelines via Azure Functions and Databricks Jobs, model data using dbt on Databricks (medallion architecture: bronze → silver → gold), and deliver analytics‑ready datasets to Azure SQL Database and Luzmo. You'll also maintain multi‑tenant data isolation, automate deployments, and keep the platform performant and cost‑efficient.
Technologies
- Microsoft Azure
- Azure Blob Storage / ADLS Gen2
- Databricks (Delta Lake, PySpark, SQL Warehouses)
- dbt (dbt-databricks + dbt-sqlserver)
- Azure Functions (Python)
- Azure Event Grid
- Azure SQL Database
- Azure Key Vault
- Luzmo
What You'll Do
- Maintain and support Azure Functions pipelines (Event Grid → Databricks Jobs);
- Build and optimize Databricks notebooks for XML parsing and Parquet landing in DBFS/ADLS;
- Manage Auto Loader and incremental data ingestion processes;
- Design and maintain dbt models across medallion layers (bronze COPY INTO, silver current‑changes, gold incremental merge, staging/CDC to Azure SQL);
- Write custom macros and ensure data quality with dbt tests;
- Optimize schemas, indexes, and CDC merge pipelines in Azure SQL Database;
- Manage analytical views, RBAC roles, and Luzmo integration for BI consumers;
- Maintain tenant‑scoped DBFS mounts and data isolation;
- Configure backup, storage tiering, and define RPO/RTO targets, monitor pipeline health;
- Automate deployments using CI/CD tools (e.g., GitHub Actions);
- Implement monitoring, alerting, and optimize infrastructure and compute costs in Azure and Databricks;
Job Requirements
- 5+ years designing and building data solutions on Microsoft Azure;
- 2+ years with Databricks (Delta Lake, PySpark, SQL Warehouses);
- Strong experience with dbt (data build tool): incremental models, custom macros, multi‑adapter setups (Databricks + SQL Server);
- Expert‑level SQL skills: Databricks SQL for Delta Lake transformations and T‑SQL for Azure SQL Database performance tuning;
- Hands‑on experience with Azure Functions (Python) and event‑driven architectures (Azure Event Grid, Blob Storage triggers);
- Familiarity with medallion architecture patterns (bronze/silver/gold) and CDC (Change Data Feed) pipelines;
- Working knowledge of XML data parsing/ingestion at scale (PySpark XML processing);
- Strong understanding of Azure security fundamentals (Key Vault, RBAC, managed identities);
- Experience with multi‑tenant data platform design and tenant‑scoped data isolation;
- English level: B1+ (Intermediate) or higher;
Nice to Have
- Microsoft Certified: Azure Data Engineer Associate (DP‑203) or Databricks Data Engineer Associate;
- Experience with IaC (Bicep or Terraform) and CI/CD (GitHub Actions);
- Familiarity with BI platforms, particularly Luzmo, for provisioning datasets and self‑service reporting;
- Knowledge of Python for Databricks notebooks, Azure Functions, and utility scripts;
- Experience with cost‑governance / FinOps in Azure and Databricks;
- Exposure to SQLFluff or similar SQL linting/quality tools;
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
Data Architect (Azure, Lakehouse)
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Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
Project Duration
4-month engagement with the possibility of extension
Project Tech Stack
Databricks, Microsoft Azure, Medallion Architecture, Star Schema / Dimensional Modelling, Fact & Dimension tables, Databricks SQL, T-SQL, Python, Azure DevOps CI/CD, Git-based deployment pipelines
What You’ll Do
- Rapidly review and understand the original Statement of Work, change requests, and any pre-existing contractual dependencies
- Audit the current state of the Databricks environment: what has been built, its quality, and its alignment to the agreed design
- Identify root causes for delivery gaps — distinguishing between client-side blockers, scope ambiguity, and engineering shortfalls
- Assess the medallion architecture (Bronze / Silver / Gold) and the ADF pipeline design against best practice and the client's requirements
- Review all outstanding work items (including dependent database views, gold views, ingestion, test framework, and UAT artefacts) and produce a clear, honest picture of the remaining effort
- Validate and, where necessary, correct or redesign the existing solution architecture to ensure it is fit for purpose, scalable, and maintainable
- Own the technical design for all remaining deliverables: ADF pipelines, Databricks SQL views, medallion layers, Unity Catalog, and CI/CD deployment via Azure DevOps
- Ensure architectural decisions are documented clearly and are explainable to both technical and non-technical client stakeholders
- Define the reconciliation and testing framework for view validation against SQL Server source systems
- Lead and execute the engineering delivery of all remaining scope, including: porting SQL Server views to Databricks SQL, building and validating ADF pipelines (batch ingestion), implementing gold-layer dimensional models and analytic views, deploying via Azure DevOps CI/CD pipelines (Test and Production environments)
- Produce high-quality, well-documented, maintainable code — not quick fixes
- Execute or oversee the reconciliation framework to prove view correctness against source systems
- Manage dependencies on the client (CDC enablement, SQL account provisioning, UAT availability) and escalate blockers promptly to the Engagement Lead
- Produce a realistic, structured delivery plan covering all remaining scope, with clear milestones, dependencies, and acceptance criteria
- Support the Engagement Lead in presenting the recovery plan to the client for sign-off
- Attend client-facing working sessions as the technical authority — you must be credible and confident communicating with both IT and commercial stakeholders
- Support the delivery management function with regular, accurate progress reporting
What You Bring
- Expert-level proficiency in Azure Data Factory: pipeline design, linked services, integration runtimes (including Self-Hosted IR), incremental load patterns, and CDC
- Strong command of Azure Data Lake Storage Gen2, Unity Catalog, and Azure networking fundamentals relevant to data platform connectivity (VNets, Private Endpoints)
- Hands-on experience with Azure DevOps for CI/CD pipeline construction covering Databricks and ADF deployment across Dev / Test / Prod environments
- Familiarity with Microsoft Purview for data governance and lineage (desirable)
- Deep, hands-on Databricks experience — this is not a theoretical understanding; you must have delivered real solutions on the platform
- Expertise in Databricks SQL, Delta Lake, and the medallion architecture (Bronze / Silver / Gold)
- Ability to design and implement performant Databricks SQL views at scale, including complex join patterns, cross-database references, and performance validation
- Experience with Unity Catalog configuration and RBAC
- Familiarity with Databricks Lakeflow (desirable)
- Strong T-SQL / SQL Server background — you will be porting SQL Server views and need to understand source system data structures across OLTP and analytical databases
- Proven ability to design and implement fact/dimension tables, staging tables, and analytic models in a lakehouse context
- Experience building and running reconciliation frameworks to validate migrated data against source systems
- Solid Python skills for pipeline logic, test scripting, and utility development
- Demonstrated experience designing greenfield modern data platforms — you must be able to evidence solutions you have architected from scratch
- Demonstrated experience leading modernisation or transformation of brownfield data environments — migrating legacy reporting layers, rationalising fragmented data estates, or re-platforming to cloud-native architectures
- Ability to produce clear, concise architecture artefacts: solution design documents, data flow diagrams, entity models, and deployment architecture
- Sound understanding of data modelling — conceptual, logical, and physical — in the context of Lakehouse and dimensional design
- Proven ability to operate in a consulting or client-facing environment: credible, articulate, and capable of managing expectations under pressure
- Experience producing and owning delivery plans — not just contributing to them
- Comfortable working in a recovery or turnaround context, where rapid assessment and honest communication are more important than defending prior decisions
- Experience working under an engagement lead / principal and operating with a high degree of autonomy within that structure
English level
Upper-Intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
Senior Data Engineer (ADB, Python)
Share this job
We are looking for a motivated Senior Data Engineer (ADB, Python) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply!
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.
The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.
Project Tech Stack
Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs
What You’ll Do
- Define and enforce best practices and coding standards across the project
- Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality
- Working both independently and in close collaboration with others in the team
- Communicating clear instructions to team members and helping manage the flow of day-to-day operations
- Communicating with the client regularly
- Design, develop, and maintain robust and scalable Spark applications
- Write clean, maintainable, and efficient code following best practices and coding standards
- Optimize code for performance and scalability, ensuring efficient data handling
- Work closely with cross-functional teams to deliver high-quality software solutions
- Identify and resolve technical issues, ensuring the reliability and performance of applications
- Create and maintain comprehensive documentation for code, processes, and workflows
What You Bring
- 5+ years of hands-on experience in software development
- Extensive experience working with Apache Spark, including platforms such as Databricks and/or Azure Synapse/Fabric
- Proficient in Python, with strong skills in data manipulation using Pandas/Polars and similar
- Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using Delta Tables
- Proven expertise in data processing, analysis, and transformation workflows
- Strong analytical and problem-solving abilities with a detail-oriented mindset
- Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively
- Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines
- Solid understanding of microservices architecture and its implementation in scalable systems
Nice to have
- Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
- Familiarity with FastAPI
- Expertise in containerization and orchestration tools such as Docker and Kubernetes
English level
Intermediate+
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
QA Automation Engineer (Digital Engineering)
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Company Background
Our client is a leading life insurance company, part of a global financial services group. The company provides a range of financial products, including annuities and life insurance, delivered through a large nationwide network of agents.
Project Description
The project focuses on ensuring quality and reliability of systems within the financial domain, including validation of business-critical workflows and data processing.
Technologies
- Python
- Azure
- SQL
- Databricks
- Automation frameworks
What You'll Do
- Perform manual testing of application features and workflows;
- Develop and maintain automation tests using Python;
- Work with existing automation frameworks and improve test coverage;
- Validate data and perform database checks using SQL;
- Collaborate with development and QA teams to ensure product quality;
- Identify, document, and track defects;
Job Requirements
- 3+ year of experience in QA;
- Experience with Databricks ecosystem;
- Experience working in Azure cloud environment;
- Good understanding of data pipelines and data platform architecture;
- Experience with Python for test automation;
- Understanding of automation frameworks;
- Experience working with SQL;
- Strong knowledge of manual QA practices;
- Attention to detail and analytical mindset;
- Ability to work in a team environment;
- English level: Upper-Intermediate (B2) or higher;
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Ready to apply?
Apply to Coherent Solutions
Data Engineer (Databricks)
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Project Description
We are looking for an experienced Data Engineer with deep expertise in Databricks to join our advanced analytics and data engineering team. The ideal candidate will play a key role in designing, building, and optimizing large-scale data solutions on the Databricks platform, supporting business intelligence, advanced analytics, and machine learning initiatives. You will collaborate with cross-functional teams to deliver robust, scalable, and high-performance data pipelines and architectures.
Technologies
- Databricks (including Spark, Delta Lake, MLflow)
- Python/Scala
- SQL
- ETL concepts
- Distributed data processing
- Data warehousing
- Cloud Platforms & Storage
What You'll Do
- Lead the design, development, and deployment of scalable data pipelines and ETL processes using Databricks (Spark, Delta Lake, MLflow);
- Architect and implement data lakehouse solutions, ensuring data quality, governance, and security;
- Optimize data workflows for performance and cost efficiency on Databricks and cloud platforms (Azure, AWS, or GCP);
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver actionable insights;
- Mentor and guide junior engineers, promoting best practices in data engineering and Databricks usage;
- Develop and maintain documentation, data models, and technical standards;
- Monitor, troubleshoot, and resolve issues in production data pipelines and environments;
- Stay current with emerging trends and technologies in data engineering and Databricks ecosystem;
Job Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field;
- 5+ years of experience in data engineering, with at least 2 years of hands-on experience with Databricks (including Spark, Delta Lake, and MLflow);
- Strong proficiency in Python and/or Scala for data processing;
- Deep understanding of distributed data processing, data warehousing, and ETL concepts;
- Experience with cloud data platforms (Azure Data Lake, AWS S3, or Google Cloud Storage);
- Solid knowledge of SQL and experience with large-scale relational and NoSQL databases;
- Familiarity with CI/CD, DevOps, and infrastructure-as-code practices for data engineering;
- Experience with data governance, security, and compliance in cloud environments;
- Excellent problem-solving, communication, and leadership skills;
- English: Upper Intermediate level or higher;
What Do We Offer
The global benefits package includes:
- Technical and non-technical training for professional and personal growth;
- Internal conferences and meetups to learn from industry experts;
- Support and mentorship from an experienced employee to help you professional grow and development;
- Health insurance;
- English courses;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent;
- Work anniversary program and additional vacation days.
Sep 25, 2025 12:50
Ready to apply?
Apply to Coherent Solutions
Senior Data Engineer (ADB, Python)
Share this job
We are looking for a motivated Senior Data Engineer (ADB, Python) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply!
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.
The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.
Project Tech Stack
Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs
What You’ll Do
- Define and enforce best practices and coding standards across the project
- Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality
- Working both independently and in close collaboration with others in the team
- Communicating clear instructions to team members and helping manage the flow of day-to-day operations
- Communicating with the client regularly
- Design, develop, and maintain robust and scalable Spark applications
- Write clean, maintainable, and efficient code following best practices and coding standards
- Optimize code for performance and scalability, ensuring efficient data handling
- Work closely with cross-functional teams to deliver high-quality software solutions
- Identify and resolve technical issues, ensuring the reliability and performance of applications
- Create and maintain comprehensive documentation for code, processes, and workflows
What You Bring
- 5+ years of hands-on experience in software development
- Extensive experience working with Apache Spark, including platforms such as Databricks and/or Azure Synapse/Fabric
- Proficient in Python, with strong skills in data manipulation using Pandas/Polars and similar
- Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using Delta Tables
- Proven expertise in data processing, analysis, and transformation workflows
- Strong analytical and problem-solving abilities with a detail-oriented mindset
- Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively
- Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines
- Solid understanding of microservices architecture and its implementation in scalable systems
Nice to have
- Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
- Familiarity with FastAPI
- Expertise in containerization and orchestration tools such as Docker and Kubernetes
English level
Intermediate+
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
Data Architect (Azure, Lakehouse)
Share this job
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
Project Duration
4-month engagement with the possibility of extension
Project Tech Stack
Databricks, Microsoft Azure, Medallion Architecture, Star Schema / Dimensional Modelling, Fact & Dimension tables, Databricks SQL, T-SQL, Python, Azure DevOps CI/CD, Git-based deployment pipelines
What You’ll Do
- Rapidly review and understand the original Statement of Work, change requests, and any pre-existing contractual dependencies
- Audit the current state of the Databricks environment: what has been built, its quality, and its alignment to the agreed design
- Identify root causes for delivery gaps — distinguishing between client-side blockers, scope ambiguity, and engineering shortfalls
- Assess the medallion architecture (Bronze / Silver / Gold) and the ADF pipeline design against best practice and the client's requirements
- Review all outstanding work items (including dependent database views, gold views, ingestion, test framework, and UAT artefacts) and produce a clear, honest picture of the remaining effort
- Validate and, where necessary, correct or redesign the existing solution architecture to ensure it is fit for purpose, scalable, and maintainable
- Own the technical design for all remaining deliverables: ADF pipelines, Databricks SQL views, medallion layers, Unity Catalog, and CI/CD deployment via Azure DevOps
- Ensure architectural decisions are documented clearly and are explainable to both technical and non-technical client stakeholders
- Define the reconciliation and testing framework for view validation against SQL Server source systems
- Lead and execute the engineering delivery of all remaining scope, including: porting SQL Server views to Databricks SQL, building and validating ADF pipelines (batch ingestion), implementing gold-layer dimensional models and analytic views, deploying via Azure DevOps CI/CD pipelines (Test and Production environments)
- Produce high-quality, well-documented, maintainable code — not quick fixes
- Execute or oversee the reconciliation framework to prove view correctness against source systems
- Manage dependencies on the client (CDC enablement, SQL account provisioning, UAT availability) and escalate blockers promptly to the Engagement Lead
- Produce a realistic, structured delivery plan covering all remaining scope, with clear milestones, dependencies, and acceptance criteria
- Support the Engagement Lead in presenting the recovery plan to the client for sign-off
- Attend client-facing working sessions as the technical authority — you must be credible and confident communicating with both IT and commercial stakeholders
- Support the delivery management function with regular, accurate progress reporting
What You Bring
- Expert-level proficiency in Azure Data Factory: pipeline design, linked services, integration runtimes (including Self-Hosted IR), incremental load patterns, and CDC
- Strong command of Azure Data Lake Storage Gen2, Unity Catalog, and Azure networking fundamentals relevant to data platform connectivity (VNets, Private Endpoints)
- Hands-on experience with Azure DevOps for CI/CD pipeline construction covering Databricks and ADF deployment across Dev / Test / Prod environments
- Familiarity with Microsoft Purview for data governance and lineage (desirable)
- Deep, hands-on Databricks experience — this is not a theoretical understanding; you must have delivered real solutions on the platform
- Expertise in Databricks SQL, Delta Lake, and the medallion architecture (Bronze / Silver / Gold)
- Ability to design and implement performant Databricks SQL views at scale, including complex join patterns, cross-database references, and performance validation
- Experience with Unity Catalog configuration and RBAC
- Familiarity with Databricks Lakeflow (desirable)
- Strong T-SQL / SQL Server background — you will be porting SQL Server views and need to understand source system data structures across OLTP and analytical databases
- Proven ability to design and implement fact/dimension tables, staging tables, and analytic models in a lakehouse context
- Experience building and running reconciliation frameworks to validate migrated data against source systems
- Solid Python skills for pipeline logic, test scripting, and utility development
- Demonstrated experience designing greenfield modern data platforms — you must be able to evidence solutions you have architected from scratch
- Demonstrated experience leading modernisation or transformation of brownfield data environments — migrating legacy reporting layers, rationalising fragmented data estates, or re-platforming to cloud-native architectures
- Ability to produce clear, concise architecture artefacts: solution design documents, data flow diagrams, entity models, and deployment architecture
- Sound understanding of data modelling — conceptual, logical, and physical — in the context of Lakehouse and dimensional design
- Proven ability to operate in a consulting or client-facing environment: credible, articulate, and capable of managing expectations under pressure
- Experience producing and owning delivery plans — not just contributing to them
- Comfortable working in a recovery or turnaround context, where rapid assessment and honest communication are more important than defending prior decisions
- Experience working under an engagement lead / principal and operating with a high degree of autonomy within that structure
English level
Upper-Intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel
Data Architect (Azure, Lakehouse)
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Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
Project Duration
4-month engagement with the possibility of extension
Project Tech Stack
Databricks, Microsoft Azure, Medallion Architecture, Star Schema / Dimensional Modelling, Fact & Dimension tables, Databricks SQL, T-SQL, Python, Azure DevOps CI/CD, Git-based deployment pipelines
What You’ll Do
- Rapidly review and understand the original Statement of Work, change requests, and any pre-existing contractual dependencies
- Audit the current state of the Databricks environment: what has been built, its quality, and its alignment to the agreed design
- Identify root causes for delivery gaps — distinguishing between client-side blockers, scope ambiguity, and engineering shortfalls
- Assess the medallion architecture (Bronze / Silver / Gold) and the ADF pipeline design against best practice and the client's requirements
- Review all outstanding work items (including dependent database views, gold views, ingestion, test framework, and UAT artefacts) and produce a clear, honest picture of the remaining effort
- Validate and, where necessary, correct or redesign the existing solution architecture to ensure it is fit for purpose, scalable, and maintainable
- Own the technical design for all remaining deliverables: ADF pipelines, Databricks SQL views, medallion layers, Unity Catalog, and CI/CD deployment via Azure DevOps
- Ensure architectural decisions are documented clearly and are explainable to both technical and non-technical client stakeholders
- Define the reconciliation and testing framework for view validation against SQL Server source systems
- Lead and execute the engineering delivery of all remaining scope, including: porting SQL Server views to Databricks SQL, building and validating ADF pipelines (batch ingestion), implementing gold-layer dimensional models and analytic views, deploying via Azure DevOps CI/CD pipelines (Test and Production environments)
- Produce high-quality, well-documented, maintainable code — not quick fixes
- Execute or oversee the reconciliation framework to prove view correctness against source systems
- Manage dependencies on the client (CDC enablement, SQL account provisioning, UAT availability) and escalate blockers promptly to the Engagement Lead
- Produce a realistic, structured delivery plan covering all remaining scope, with clear milestones, dependencies, and acceptance criteria
- Support the Engagement Lead in presenting the recovery plan to the client for sign-off
- Attend client-facing working sessions as the technical authority — you must be credible and confident communicating with both IT and commercial stakeholders
- Support the delivery management function with regular, accurate progress reporting
What You Bring
- Expert-level proficiency in Azure Data Factory: pipeline design, linked services, integration runtimes (including Self-Hosted IR), incremental load patterns, and CDC
- Strong command of Azure Data Lake Storage Gen2, Unity Catalog, and Azure networking fundamentals relevant to data platform connectivity (VNets, Private Endpoints)
- Hands-on experience with Azure DevOps for CI/CD pipeline construction covering Databricks and ADF deployment across Dev / Test / Prod environments
- Familiarity with Microsoft Purview for data governance and lineage (desirable)
- Deep, hands-on Databricks experience — this is not a theoretical understanding; you must have delivered real solutions on the platform
- Expertise in Databricks SQL, Delta Lake, and the medallion architecture (Bronze / Silver / Gold)
- Ability to design and implement performant Databricks SQL views at scale, including complex join patterns, cross-database references, and performance validation
- Experience with Unity Catalog configuration and RBAC
- Familiarity with Databricks Lakeflow (desirable)
- Strong T-SQL / SQL Server background — you will be porting SQL Server views and need to understand source system data structures across OLTP and analytical databases
- Proven ability to design and implement fact/dimension tables, staging tables, and analytic models in a lakehouse context
- Experience building and running reconciliation frameworks to validate migrated data against source systems
- Solid Python skills for pipeline logic, test scripting, and utility development
- Demonstrated experience designing greenfield modern data platforms — you must be able to evidence solutions you have architected from scratch
- Demonstrated experience leading modernisation or transformation of brownfield data environments — migrating legacy reporting layers, rationalising fragmented data estates, or re-platforming to cloud-native architectures
- Ability to produce clear, concise architecture artefacts: solution design documents, data flow diagrams, entity models, and deployment architecture
- Sound understanding of data modelling — conceptual, logical, and physical — in the context of Lakehouse and dimensional design
- Proven ability to operate in a consulting or client-facing environment: credible, articulate, and capable of managing expectations under pressure
- Experience producing and owning delivery plans — not just contributing to them
- Comfortable working in a recovery or turnaround context, where rapid assessment and honest communication are more important than defending prior decisions
- Experience working under an engagement lead / principal and operating with a high degree of autonomy within that structure
English level
Upper-Intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel Inc (Website)
Senior Data Engineer (ADB, Python)
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We are looking for a motivated Senior Data Engineer (ADB, Python) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply!
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.
The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.
Project Tech Stack
Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs
What You’ll Do
- Define and enforce best practices and coding standards across the project
- Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality
- Working both independently and in close collaboration with others in the team
- Communicating clear instructions to team members and helping manage the flow of day-to-day operations
- Communicating with the client regularly
- Design, develop, and maintain robust and scalable Spark applications
- Write clean, maintainable, and efficient code following best practices and coding standards
- Optimize code for performance and scalability, ensuring efficient data handling
- Work closely with cross-functional teams to deliver high-quality software solutions
- Identify and resolve technical issues, ensuring the reliability and performance of applications
- Create and maintain comprehensive documentation for code, processes, and workflows
What You Bring
- 5+ years of hands-on experience in software development
- Extensive experience working with Apache Spark, including platforms such as Databricks and/or Azure Synapse/Fabric
- Proficient in Python, with strong skills in data manipulation using Pandas/Polars and similar
- Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using Delta Tables
- Proven expertise in data processing, analysis, and transformation workflows
- Strong analytical and problem-solving abilities with a detail-oriented mindset
- Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively
- Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines
- Solid understanding of microservices architecture and its implementation in scalable systems
Nice to have
- Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
- Familiarity with FastAPI
- Expertise in containerization and orchestration tools such as Docker and Kubernetes
English level
Intermediate+
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Ready to apply?
Apply to Exadel Inc (Website)